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ER_Ex
刀刃法获取靶标图像的MTF,PSF.适用于遥感图像中的MTF提取。(The blade method for target images MTF, PSF. Apply to the remote sensing image MTF extraction.)
- 2011-12-19 23:39:38下载
- 积分：1
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kalman
分为行人检测，特征提取，行人跟踪三步，其中最主要的代码也是这个代码的中心是行人跟踪这一部分，我采用的是kalman滤波器进行行人下一帧位置的预测，可以很好的提高行人跟踪的鲁棒性，跟踪结果比较准确。(Into pedestrian detection, feature extraction, pedestrian tracking steps, which is the center of the main code of the code is pedestrian tracking this section, I kalman filter is used to predict the position of the next frame pedestrians, can be a good improvement pedestrian tracking robustness, tracking results more accurate.)
- 2015-04-16 16:36:51下载
- 积分：1
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模拟退火程序
模拟退火MATLAB程序，可直接运行，或修改参数做其他用途(MATLAB monituihuo program, you can use it solve many problem.)
- 2018-09-15 20:26:31下载
- 积分：1
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EMD-end-effect-reference-code
EMD端点效应参考代码，包含多个算法：极值平均，边界特征尺度延拓，极值延拓，基于ISBM延拓，平行延拓，镜像延拓(EMD end effect reference code contains multiple algorithms: extreme average, the boundary characteristic scale extension, extreme extension, extension based ISBM parallel extension, mirror extension)
- 2021-03-18 16:09:20下载
- 积分：1
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2
说明： Research on TDOA / AOA Hybrid Positioning System Based on Kalman filtering
- 2012-08-26 10:57:34下载
- 积分：1
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lyc_sst_monthly_gif
说明： 基于MATLAB，对逐日的sst遥感数据做月平均并制作gif动图(Based on MATLAB, the daily SST remote sensing data are averaged monthly and the GIF map is made)
- 2021-03-02 11:13:36下载
- 积分：1
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DP-TBD
基于动态规划的检测前跟踪论文十余篇，对于雷达数据处理与目标跟踪方面工作者有较大帮助。(The 11 papers are all about DP-TBD， it is very useful in track before detected. )
- 2016-02-29 11:57:15下载
- 积分：1
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SSDA
利用SSDA算法实现模板匹配的功能，该算法可快速有效地完成图像的匹配。(SSDA algorithm on template matching function, the algorithm can quickly and efficiently complete image matching.)
- 2012-09-19 11:30:57下载
- 积分：1
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particle-filter
粒子滤波算法，综述，学习文档以及算法程序，包括PF,EKPF,UKPF，以及不同的重采样方法(This file is about algorithm of particle filtering, including codes and tutorial.)
- 2021-04-27 10:28:44下载
- 积分：1
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matlab代码 用于遥感图像变化检测
说明： 此matlab代码是用于遥感图像变化检测的(This matlab code is used for remote sensing image change detection)
- 2020-06-18 03:20:01下载
- 积分：1
